public boolean pass(int[] bowl, int bowlId, int round, boolean canPick, boolean mustTake) {
float[] currentBowl = Vectors.castToFloatArray(bowl);
numFruits = Vectors.sum(currentBowl);
if (!canPick) {
log("CANT PICK RETURNING EARLY");
return false;
}
log("|||||||||||||||||||||||||||||||||||||||||");
log("Number of bowls that will pass: "******"Number of bowls remaining: " + bowlsRemaining);
// Initialize the histogram now that we know how many fruit come in a bowl
if (mle == null) {
mle = new MLE((int) numFruits, numPlayers, prefs);
}
mle.addObservation(currentBowl);
// calculate score for the bowl the we get
float score = score(currentBowl);
scoreStats.addData(score);
// get MLE and score it
float[] uniformBowl = new float[currentBowl.length];
for (int i = 0; i < bowl.length; i++) {
uniformBowl[i] = numFruits / bowl.length;
}
float uniformScore = score(uniformBowl);
log("Uniform Score: " + uniformScore);
log("MLE Score: " + score(mle.bowl(round == 0)));
log("Score: " + score);
float[] mleBowl = mle.bowl(round == 0);
Stats bowlGenerationStats = mle.getBowlGenerationStats();
float[] mlePlatter = mle.platter();
float maxScore = maxScore(mlePlatter);
boolean take =
shouldTakeBasedOnScore(
score, score(mleBowl), maxScore, bowlGenerationStats.standardDeviation());
bowlsRemaining--;
return take;
}
